68108 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 68108 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 6,345, 100% | 945,395 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,598, 72.47%, see rank | 81.19% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,182, 18.63%, see rank | 9.63% | 9.59% |
| Public Transportation | 155, 2.44%, see rank | 0.69% | 5.06% |
| Walked | 190, 2.99%, see rank | 2.77% | 2.78% |
| Other Means | 84, 1.32%, see rank | 1.27% | 1.79% |
| Worked at Home | 136, 2.14%, see rank | 4.45% | 4.37% |
Mean Travel Time to Work, see rank| 68108 Zip Code | 17.3 minutes |
| Nebraska | 17.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 68108 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 6,004, 100% | 935,599 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,940, 65.62%, see rank | 80.38% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,409, 23.47%, see rank | 10.04% | 10.03% |
| Public Transportation | 175, 2.91%, see rank | 0.69% | 4.98% |
| Walked | 290, 4.83%, see rank | 2.97% | 2.82% |
| Other Means | 42, 0.70%, see rank | 1.28% | 1.76% |
| Worked at Home | 148, 2.47%, see rank | 4.63% | 4.27% |
Mean Travel Time to Work, see rank| 68108 Zip Code | 17.5 minutes |
| Nebraska | 17.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 68108 Zip Code | Nebraska | U.S. |
| Workers 16 Years and Over | 6,397, 100% | 873,197 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,487, 70.14%, see rank | 80.01% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,230, 19.23%, see rank | 10.52% | 12.19% |
| Public Transportation | 185, 2.89%, see rank | 0.72% | 4.73% |
| Walked | 255, 3.99%, see rank | 3.21% | 2.93% |
| Other Means | 111, 1.74%, see rank | 0.90% | 1.19% |
| Worked at Home | 129, 2.02%, see rank | 4.64% | 3.26% |
Mean Travel Time to Work, see rank| 68108 Zip Code | 18.1 minutes |
| Nebraska | 17.2 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
